Master the SQL patterns Shopify asks across Data Analyst, Data Scientist, and Analytics Engineer roles. Practice GMV analysis, merchant retention, and e-commerce funnels with real datasets and AI tutoring.
15 challenges
Shopify patterns
Real datasets
Merchants & orders
AI tutor
Step-by-step hints
What this page is: we have no dated public source for how Shopify runs its SQL round, so this page does not state one — no duration, no platform, no stage list. What follows is general SQL interview practice on the kind of data Shopify works with. What is ours: the questions are SQL Quest challenges and the topic emphasis is our editorial judgement, not a measured breakdown of Shopify's interview. Pages with dated sources say so in this spot.
The 15 challenges tagged Shopify in the SQL Quest bank, with every raw challenge tag resolved to the 9 canonical skills. Each share is the portion of those 15 challenges that exercise the skill — a challenge exercises several, so the shares do not sum to 100%. This is the composition of the practice set on this page, not a measurement of Shopify’s interview.
These are SQL Quest challenges chosen because their SQL matches the work — Querying Basics, Aggregation & Grouping, Joins. They are not questions Shopify has asked, and this page does not claim to know its questions. All of the six play free; each card opens the challenge itself.
General guidance about analytics SQL work — not sourced from Shopify and not a description of its process. We have no dated, citable source for how Shopify runs its SQL round, so this page states none.
Skillmap
Ten questions, no signup. You get a readiness score weighted to the SQL this page covers, your Skillmap across joins, window functions, aggregation and the rest, and the weakest skill to practise first.
Drill the skills the Shopify set leans on, one at a time: GROUP BY exercises · JOIN practice · CTE practice · CASE WHEN practice · Window function practice — or browse every SQL practice question.
Every question in the Shopify set, one page each with the schema and a hint: Pivot: Order Status by Country · LEFT JOIN NULL Semantics: Inactive Customers · Category Revenue with Relabeling · Membership Tier Revenue Analysis · Monthly Order Trends · Multi-CTE Revenue Pipeline · Cumulative Revenue Share (Pareto) · Top Spender Per Country · Detect Repeat Buyers Within 7 Days · Customer Lifetime Value · Revenue Share by Category (Window %) · Order Status Dashboard · Customer Lifetime Value Pipeline · Order Funnel Conversion · Customer Retention Cohort.
No signup required. No credit card. Open the app and start practicing Shopify SQL patterns right now.
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Interviewing at more than one company? The same patterns carry: Uber · Airbnb · Spotify — or the full company-by-company interview guide.